Description
"One of the biggest hurdles in using an STL mesh model for a downward manufacturing application is the lack of geometry feature information in the STL file.
This class will demonstrate how machine learning techniques can be applied to extract geometrical information from mesh models; and explain the process of building machine learning models, feature engineering for mesh data, and parameter tuning. We will also cover Autodesk Forge integration for data translation and viewing; and demonstrate how to use AWS cloud infrastructure such as GPU computing for big data and AWS Lambda for fast online predictions."
Key Learnings
- Demonstrate use of machine learning in the future of autonomous manufacturing
- Apply machine learning techniques for problems in geometry
- Integrate Autodesk Forge services in webapp
- Select appropriate AWS computing services for machine learning application